Unsupervised Learning of Harmonic Analysis Using Neural HSMM with Code Quality Templates

The author presents an unsupervised learning method for harmonic analysis based on a hidden semi-Markov model, focusing on chord quality templates and neural networks. The approach aims to automate harmonic analysis without the need for expensive labeled data or manual rule elaboration.